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GEMINI: a computationally-efficient search engine for large gene expression datasets
BACKGROUND: Low-cost DNA sequencing allows organizations to accumulate massive amounts of genomic data and use that data to answer a diverse range of research questions. Presently, users must search for relevant genomic data using a keyword, accession number of meta-data tag. However, in this search...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4765211/ https://ncbi.nlm.nih.gov/pubmed/26911289 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-0934-8 |
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